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Ecological Inference
Ecological Inference: New Methodological Strategies brings together a diverse group of scholars to survey the latest strategies for solving ecological inference problems in various fields. The last half decade has witnessed an explosion of research in ecological inference – the attempt to infer individual behavior from aggregate data. The uncertainties and the information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but such inferences are required in many academic fields, as well as by legislatures and the courts in redistricting, by businesses in marketing research, and by governments in policy analysis.
Gary King is the David Florence Professor of Government at Harvard University. He also serves as the director of the Harvard–MIT Data Center and as a member of the steering committee of Harvard’s Center for Basic Research in the Social Sciences. He was elected president of the Society for Political Methodology and Fellow of the American Academy of Arts and Sciences. Professor King received his Ph.D. from the University of Wisconsin. He has won numerous awards for his work, including the Gosnell Prize for his book A Solution to the Ecological Inference Problem (1997), on which the research in this book builds. His home page can be found at http:// GKing.Harvard.edu.
Ori Rosen is Assistant Professor of Statistics at the University of Pittsburgh. His research includes work on semiparametric regression models, applications of mixtures-of-experts neural network models in regression, and applications of Markov chain Monte Carlo methods. Professor Rosen was educated at the Tech- nion, and he later served as Mellon Postdoctoral Fellow at Northwestern University.
Martin A. Tanner is Professor of Statistics at Northwestern University. He has au- thored and coauthored nearly 100 research articles on wide-ranging topics in theo- retical and applied statistics. His previous books include Investigations for a Course in Statistics (1990), Tools for Statistical Inference (1996), and Statistics for the 21st Century (2001). Professor Tanner is a Fellow of the American Statistical Association and the Royal Statistical Society, and he has been honored with the 1993 Mortimer Spiegelman Award as well as the American Statistical Association’s Continuing Ed- ucation Excellence Award. He has served as editor of the Journal of the American Statistical Association (Theory and Methods). Professor Tanner received his Ph.D. from the University of Chicago.
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Analytical Methods for Social Research
Series Editors
R. Michael Alvarez, California Institute of Technology Nathaniel L. Beck, New York University Lawrence L. Wu, New York University
Analytical Methods for Social Research presents texts on empirical and formal methods for the social sciences. Some series volumes are broad in scope, addressing multiple disciplines; others focus mainly on techniques applied within specific fields, such as political science, sociology, and demography.
Previously published:
Event History Modeling: A Guide for Social Scientists, Janet M. Box-Steffensmeier and BradfordS.Jones
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Ecological Inference
New Methodological Strategies
Edited by Gary King Harvard University Ori Rosen University of Pittsburgh Martin A. Tanner Northwestern University
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PUBLISHED BY THE PRESS SYNDICATE OF THE UNIVERSITY OF CAMBRIDGE The Pitt Building, Trumpington Street, Cambridge, United Kingdom
CAMBRIDGE UNIVERSITY PRESS The Edinburgh Building, Cambridge CB2 2RU, UK 40 West 20th Street, New York, NY 10011-4211, USA 477 Williamstown Road, Port Melbourne, VIC 3207, Australia Ruiz de Alarcon´ 13, 28014 Madrid, Spain Dock House, The Waterfront, Cape Town 8001, South Africa http://www.cambridge.org